可再生能源离网电力系统电池-飞轮混合储能系统优化调度

Richo Tetuko, V. Lystianingrum, R. S. Wibowo
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引用次数: 0

摘要

气候变化问题是扩大可再生能源的一个重要原因。必须考虑使用风能和光伏等可再生能源。部署正确的储能技术可以帮助克服间歇性可再生能源或电力分配波动等问题。混合储能系统(HESS)包括两个或多个具有互补电荷/放电特性的存储设备,以提供所需的能量和功率。储能系统有两个主要的互补特性:能量密度和功率密度。一些储能器件具有高能量密度和低功率密度的特点,反之亦然。因此,HESS主要由在这些方面可以相互补充的技术组成。飞轮储能(FES)和电池储能(BES)技术结合起来作为储能技术来支持间歇性能源的供应。采用非线性规划方法求解由光伏和风力发电机组组成的可再生能源系统的最优HESS调度。本文的思路是在保证各类储能技术的总工程成本、运维成本和生命周期最小的基础上,对各储能系统的电力共享进行规划。通过考虑BES和FES的斜坡速率,实现了HESS中两种内部储能技术的最优功率共享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Scheduling of Battery-Flywheel Hybrid Energy Storage System for Off-Grid Power System with Renewable Energy
The issue of climate change is a crucial reason for the expansion of renewable energy sources. The use of renewable energy sources such as wind power and photovoltaics must be considered. Deploying the right energy storage technology can help overcome problems such as intermittent renewable energy or power fluctuations in distribution. A hybrid energy storage system (HESS) includes two or more storage devices with complementary electrical charge/discharge characteristics to provide the required energy and power. There are two main complementary characteristics of energy storage systems: energy density and power density. Some energy storage devices have the characteristics of high energy density but low power density and vice versa. Therefore, HESS mainly consists of technologies that can complement each other in these aspects. Both flywheel energy storage (FES) and battery energy storage (BES) technologies combined as storage technologies to support the provision of intermittent energy. The optimal HESS scheduling for renewable energy systems consisting of PV and wind turbines using nonlinear programming. The approach in this paper is to plan the power-sharing for each energy storage system based on minimizing the total project cost, operation and maintenance (O&M) cost, and life cycle of each type of energy storage technology. The optimal power sharing of the two internal energy storage technologies in HESS achieve by considering the ramp rates of BES and FES.
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